Jingcai Guo

According to our database, Jingcai Guo authored at least 65 papers between 2016 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Model Decomposition and Reassembly for Purified Knowledge Transfer in Personalized Federated Learning.

Jie Zhang, Song Guo, Xiaosong Ma, Wenchao Xu, Qihua Zhou, Jingcai Guo, Zicong Hong, Jun Shan

IEEE Trans. Mob. Comput., January, 2025

Unveiling user interests: A deep user interest exploration network for sequential location recommendation.

Junyang Chen, Jingcai Guo, Qin Zhang, Kaishun Wu, Liangjie Zhang, Victor C. M. Leung, Huan Wang, Zhiguo Gong

Inf. Sci., 2025

2024

PASS: Patch Automatic Skip Scheme for Efficient On-Device Video Perception.

Qihua Zhou, Song Guo, Jun Pan, Jiacheng Liang, Jingcai Guo, Zhenda Xu, Jingren Zhou

IEEE Trans. Pattern Anal. Mach. Intell., May, 2024

Towards performance-maximizing neural network pruning via global channel attention.

Yingchun Wang, Song Guo, Jingcai Guo, Jie Zhang, Weizhan Zhang, Caixia Yan, Yuanhong Zhang

Neural Networks, 2024

UTDNet: A unified triplet decoder network for multimodal salient object detection.

Fushuo Huo, Ziming Liu, Jingcai Guo, Wenchao Xu, Song Guo

Neural Networks, 2024

GWQ: Gradient-Aware Weight Quantization for Large Language Models.

Yihua Shao, Siyu Liang, Xiaolin Lin, Zijian Ling, Zixian Zhu, Minxi Yan, Haiyang Liu, Siyu Chen, Ziyang Yan, Yilan Meng, Chenyu Zhang, Haotong Qin, Michele Magno, Yang Yang, Zhen Lei, Yan Wang, Jingcai Guo, Ling Shao, Hao Tang

CoRR, 2024

Epsilon: Exploring Comprehensive Visual-Semantic Projection for Multi-Label Zero-Shot Learning.

Ziming Liu, Jingcai Guo, Song Guo, Xiaocheng Lu

CoRR, 2024

TsCA: On the Semantic Consistency Alignment via Conditional Transport for Compositional Zero-Shot Learning.

Miaoge Li, Jingcai Guo, Richard Yi Da Xu, Dongsheng Wang, Xiaofeng Cao, Song Guo

CoRR, 2024

On the Element-Wise Representation and Reasoning in Zero-Shot Image Recognition: A Systematic Survey.

Jingcai Guo, Zhijie Rao, Zhi Chen, Song Guo, Jingren Zhou, Dacheng Tao

CoRR, 2024

Vision-Language Meets the Skeleton: Progressively Distillation with Cross-Modal Knowledge for 3D Action Representation Learning.

Yang Chen, Tian He, Junfeng Fu, Ling Wang, Jingcai Guo, Hong Cheng

CoRR, 2024

Fine-Grained Side Information Guided Dual-Prompts for Zero-Shot Skeleton Action Recognition.

Yang Chen, Jingcai Guo, Tian He, Ling Wang

CoRR, 2024

Fine-Grained Zero-Shot Learning: Advances, Challenges, and Prospects.

Jingcai Guo, Zhijie Rao, Song Guo, Jingren Zhou, Dacheng Tao

CoRR, 2024

SFP: Spurious Feature-Targeted Pruning for Out-of-Distribution Generalization.

Yingchun Wang, Jingcai Guo, Song Guo, Yi Liu, Jie Zhang, Weizhan Zhang

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

FreePIH: Training-Free Painterly Image Harmonization with Diffusion Model.

Ruibin Li, Jingcai Guo, Qihua Zhou, Song Guo

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Fine-Grained Side Information Guided Dual-Prompts for Zero-Shot Skeleton Action Recognition.

Yang Chen, Jingcai Guo, Tian He, Xiaocheng Lu, Ling Wang

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Dual Expert Distillation Network for Generalized Zero-Shot Learning.

Zhijie Rao, Jingcai Guo, Xiaocheng Lu, Jingming Liang, Jie Zhang, Haozhao Wang, Kang Wei, Xiaofeng Cao

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

ParsNets: A Parsimonious Composition of Orthogonal and Low-Rank Linear Networks for Zero-Shot Learning.

Jingcai Guo, Qihua Zhou, Xiaocheng Lu, Ruibin Li, Ziming Liu, Jie Zhang, Bo Han, Junyang Chen, Xin Xie, Song Guo

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Causally Motivated Personalized Federated Invariant Learning with Shortcut-Averse Information-Theoretic Regularization.

Xueyang Tang, Song Guo, Jingcai Guo, Jie Zhang, Yue Yu

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Learning Personalized Causally Invariant Representations for Heterogeneous Federated Clients.

Xueyang Tang, Song Guo, Jie Zhang, Jingcai Guo

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Personalized Federated Domain-Incremental Learning Based on Adaptive Knowledge Matching.

Yichen Li, Wenchao Xu, Haozhao Wang, Yining Qi, Jingcai Guo, Ruixuan Li

Proceedings of the Computer Vision - ECCV 2024, 2024

C²KD: Bridging the Modality Gap for Cross-Modal Knowledge Distillation.

Fushuo Huo, Wenchao Xu, Jingcai Guo, Haozhao Wang, Song Guo

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

DiPrompT: Disentangled Prompt Tuning for Multiple Latent Domain Generalization in Federated Learning.

Sikai Bai, Jie Zhang, Song Guo, Shuaicheng Li, Jingcai Guo, Jun Hou, Tao Han, Xiaocheng Lu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

On the Robustness of Neural-Enhanced Video Streaming against Adversarial Attacks.

Qihua Zhou, Jingcai Guo, Song Guo, Ruibin Li, Jie Zhang, Bingjie Wang, Zhenda Xu

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Non-exemplar Online Class-Incremental Continual Learning via Dual-Prototype Self-Augment and Refinement.

Fushuo Huo, Wenchao Xu, Jingcai Guo, Haozhao Wang, Yunfeng Fan

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

ProCC: Progressive Cross-Primitive Compatibility for Open-World Compositional Zero-Shot Learning.

Fushuo Huo, Wenchao Xu, Song Guo, Jingcai Guo, Haozhao Wang, Ziming Liu, Xiaocheng Lu

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Towards Data-Independent Knowledge Transfer in Model-Heterogeneous Federated Learning.

Jie Zhang, Song Guo, Jingcai Guo, Deze Zeng, Jingren Zhou, Albert Y. Zomaya

IEEE Trans. Computers, October, 2023

Conservative Novelty Synthesizing Network for Malware Recognition in an Open-Set Scenario.

Jingcai Guo, Song Guo, Shiheng Ma, Yuxia Sun, Yuanyuan Xu

IEEE Trans. Neural Networks Learn. Syst., February, 2023

Towards Unbiased Multi-Label Zero-Shot Learning With Pyramid and Semantic Attention.

Ziming Liu, Song Guo, Jingcai Guo, Yuanyuan Xu, Fushuo Huo

IEEE Trans. Multim., 2023

ParsNets: A Parsimonious Orthogonal and Low-Rank Linear Networks for Zero-Shot Learning.

Jingcai Guo, Qihua Zhou, Ruibing Li, Xiaocheng Lu, Ziming Liu, Junyang Chen, Xin Xie, Jie Zhang

CoRR, 2023

FreePIH: Training-Free Painterly Image Harmonization with Diffusion Model.

Ruibin Li, Jingcai Guo, Song Guo, Qihua Zhou, Jie Zhang

CoRR, 2023

Attribute-Aware Representation Rectification for Generalized Zero-Shot Learning.

Zhijie Rao, Jingcai Guo, Xiaocheng Lu, Qihua Zhou, Jie Zhang, Kang Wei, Chenxin Li, Song Guo

CoRR, 2023

GBE-MLZSL: A Group Bi-Enhancement Framework for Multi-Label Zero-Shot Learning.

Ziming Liu, Jingcai Guo, Xiaocheng Lu, Song Guo, Peiran Dong, Jiewei Zhang

CoRR, 2023

Arena: A Learning-based Synchronization Scheme for Hierarchical Federated Learning-Technical Report.

Tianyu Qi, Yufeng Zhan, Peng Li, Jingcai Guo, Yuanqing Xia

CoRR, 2023

SRCD: Semantic Reasoning with Compound Domains for Single-Domain Generalized Object Detection.

Zhijie Rao, Jingcai Guo, Luyao Tang, Yue Huang, Xinghao Ding, Song Guo

CoRR, 2023

Dissecting Arbitrary-scale Super-resolution Capability from Pre-trained Diffusion Generative Models.

Ruibin Li, Qihua Zhou, Song Guo, Jie Zhang, Jingcai Guo, Xinyang Jiang, Yifei Shen, Zhenhua Han

CoRR, 2023

SFP: Spurious Feature-targeted Pruning for Out-of-Distribution Generalization.

Yingchun Wang, Jingcai Guo, Yi Liu, Song Guo, Weizhan Zhang, Xiangyong Cao, Qinghua Zheng

CoRR, 2023

MDENet: Multi-modal Dual-embedding Networks for Malware Open-set Recognition.

Jingcai Guo, Yuanyuan Xu, Wenchao Xu, Yufeng Zhan, Yuxia Sun, Song Guo

CoRR, 2023

DRPT: Disentangled and Recurrent Prompt Tuning for Compositional Zero-Shot Learning.

Xiaocheng Lu, Ziming Liu, Song Guo, Jingcai Guo, Fushuo Huo, Sikai Bai, Tao Han

CoRR, 2023

CNS-Net: Conservative Novelty Synthesizing Network for Malware Recognition in an Open-set Scenario.

Jingcai Guo, Song Guo, Shiheng Ma, Yuxia Sun, Yuanyuan Xu

CoRR, 2023

Offline-Online Class-incremental Continual Learning via Dual-prototype Self-augment and Refinement.

Fushuo Huo, Wenchao Xu, Jingcai Guo, Haozhao Wang, Yunfeng Fan, Song Guo

CoRR, 2023

Towards Fairer and More Efficient Federated Learning via Multidimensional Personalized Edge Models.

Yingchun Wang, Jingcai Guo, Song Guo, Weizhan Zhang

CoRR, 2023

Data Quality-aware Mixed-precision Quantization via Hybrid Reinforcement Learning.

Yingchun Wang, Jingcai Guo, Song Guo, Weizhan Zhang

CoRR, 2023

Towards Fairer and More Efficient Federated Learning via Multidimensional Personalized Edge Models.

Yingchun Wang, Jingcai Guo, Jie Zhang, Song Guo, Weizhan Zhang, Qinghua Zheng

Proceedings of the International Joint Conference on Neural Networks, 2023

Hwamei: A Learning-Based Synchronization Scheme for Hierarchical Federated Learning.

Tianyu Qi, Yufeng Zhan, Peng Li, Jingcai Guo, Yuanqing Xia

Proceedings of the 43rd IEEE International Conference on Distributed Computing Systems, 2023

Decomposed Soft Prompt Guided Fusion Enhancing for Compositional Zero-Shot Learning.

Xiaocheng Lu, Song Guo, Ziming Liu, Jingcai Guo

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

(ML)2P-Encoder: On Exploration of Channel-Class Correlation for Multi-Label Zero-Shot Learning.

Ziming Liu, Song Guo, Xiaocheng Lu, Jingcai Guo, Jiewei Zhang, Yue Zeng, Fushuo Huo

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Graph Knows Unknowns: Reformulate Zero-Shot Learning as Sample-Level Graph Recognition.

Jingcai Guo, Song Guo, Qihua Zhou, Ziming Liu, Xiaocheng Lu, Fushuo Huo

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Exploring Optimal Substructure for Out-of-distribution Generalization via Feature-targeted Model Pruning.

Yingchun Wang, Jingcai Guo, Song Guo, Weizhan Zhang, Jie Zhang

CoRR, 2022

Efficient Stein Variational Inference for Reliable Distribution-lossless Network Pruning.

Yingchun Wang, Song Guo, Jingcai Guo, Weizhan Zhang, Richard Yida Xu, Jie Zhang, Yi Liu

CoRR, 2022

ProCC: Progressive Cross-primitive Consistency for Open-World Compositional Zero-Shot Learning.

Fushuo Huo, Wenchao Xu, Song Guo, Jingcai Guo, Haozhao Wang, Ziming Liu

CoRR, 2022

CaDM: Codec-aware Diffusion Modeling for Neural-enhanced Video Streaming.

Qihua Zhou, Ruibin Li, Song Guo, Yi Liu, Jingcai Guo, Zhenda Xu

CoRR, 2022

Fed-FSNet: Mitigating Non-I.I.D. Federated Learning via Fuzzy Synthesizing Network.

Jingcai Guo, Song Guo, Jie Zhang, Ziming Liu

CoRR, 2022

Personalized Federated Learning with Contextualized Generalization.

Xueyang Tang, Song Guo, Jingcai Guo

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

2021

A Novel Perspective to Zero-Shot Learning: Towards an Alignment of Manifold Structures via Semantic Feature Expansion.

Jingcai Guo, Song Guo

IEEE Trans. Multim., 2021

On-Device Learning Systems for Edge Intelligence: A Software and Hardware Synergy Perspective.

Qihua Zhou, Zhihao Qu, Song Guo, Boyuan Luo, Jingcai Guo, Zhenda Xu, Rajendra Akerkar

IEEE Internet Things J., 2021

Personalized Federated Learning with Clustered Generalization.

Xueyang Tang, Song Guo, Jingcai Guo

CoRR, 2021

Learning Robust Visual-semantic Mapping for Zero-shot Learning.

Jingcai Guo

CoRR, 2021

Octo: INT8 Training with Loss-aware Compensation and Backward Quantization for Tiny On-device Learning.

Qihua Zhou, Song Guo, Zhihao Qu, Jingcai Guo, Zhenda Xu, Jiewei Zhang, Tao Guo, Boyuan Luo, Jingren Zhou

Proceedings of the 2021 USENIX Annual Technical Conference, 2021

2020

Dual-view Attention Networks for Single Image Super-Resolution.

Jingcai Guo, Shiheng Ma, Jie Zhang, Qihua Zhou, Song Guo

Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

2019

MAANet: Multi-view Aware Attention Networks for Image Super-Resolution.

Jingcai Guo, Shiheng Ma, Song Guo

CoRR, 2019

Position-Aware Convolutional Networks for Traffic Prediction.

Shiheng Ma, Jingcai Guo, Song Guo, Minyi Guo

CoRR, 2019

AMS-SFE: Towards an Alignment of Manifold Structures via Semantic Feature Expansion for Zero-shot Learning.

Jingcai Guo, Song Guo

Proceedings of the IEEE International Conference on Multimedia and Expo, 2019

EE-AE: An Exclusivity Enhanced Unsupervised Feature Learning Approach.

Jingcai Guo, Song Guo

Proceedings of the IEEE International Conference on Acoustics, 2019

Adaptive Adjustment with Semantic Feature Space for Zero-shot Recognition.

Jingcai Guo, Song Guo

Proceedings of the IEEE International Conference on Acoustics, 2019

2016

An improved incremental training approach for large scaled dataset based on support vector machine.

Jingcai Guo

Proceedings of the 3rd IEEE/ACM International Conference on Big Data Computing, 2016